Travelling salesman problem (TSP) is one the problems of NP-complete family, which means finding shortest complete close tour in graph. This study seeks to solve this using Artificial Bee Colony (ABC) Algorithm along with proposed Discrete Nearest Neighborhood (DNNA). DNNA finds path among points by starting from an arbitrary point. In next steps links will be a guide make tour. other words par...

The objective of the p-center problem is to locate p-centers on a network such that the maximum of the distances from each node to its nearest center is minimized. The artificial bee colony algorithm is a swarm-based meta-heuristic algorithm that mimics the foraging behavior of honey bee colonies. This study proposes a modified ABC algorithm that benefits from a variety of search strategies to ...

Assembly line balancing is significant for efficient and cost effective production of the products and is therefore gaining popularity in recent years. However, several uncertain events in assembly lines might causes variation in the task time and due to these variations there always remains a possibility that completion time of tasks might exceed the predefined cycle time. To hedge against thi...

Determination of the fuzzy membership functions in a given fuzzy logic system is the key factor for resulting in the best performance. Thus, in this study, particle swarm optimization (PSO) and artificial bee colony (ABC), relatively new member of swarm intelligence, are used to adjust the shape of fuzzy membership functions, respectively. Proposed methods have been implemented and compared for...

The great majority of biological sequences share significant similarity with other sequences as a result of evolutionary processes, and identifying these sequence similarities is one of the most challenging problems in bioinformatics. In this paper, we present a discrete artificial bee colony (ABC) algorithm, which is inspired by the intelligent foraging behavior of real honey bees, for the det...

The recent popularity of applications based on wireless sensor networks (WSN) provides a strong motivation for pursuing research in different dimension of WSN. Node placement is an important task in wireless sensor network and is a multi-objective combinatorial problem. A novel multi-objective ABC (Artificial Bee Colony) algorithm based framework has been proposed in this paper. The framework o...

In this paper, we present a generic method/model for multi-objective design optimization of laminated composite components, based on Vector Evaluated Artificial Bee Colony (VEABC) algorithm. VEABC is a parallel vector evaluated type, swarm intelligence multi-objective variant of the Artificial Bee Colony algorithm (ABC). In the current work a modified version of VEABC algorithm for discrete var...

Artificial Bee Colony (ABC) is one of the most recent nature inspired (NIA) algorithms based on swarming metaphor. Proposed by Karaboga in 2005, ABC has proven to be a robust and efficient algorithm for solving global optimization problems over continuous space. However, it has been observed that the structure of ABC is such that it supports exploration more in comparison to exploitation. In or...

A modified Artificial Bee Colony (ABC) metaheuristics optimization technique is applied for cancer classification, that reduces the classifier’s prediction errors and allows faster convergence by selecting informative genes. Cuckoo search (CS) algorithm was used in onlooker bee phase (exploitation phase) of ABC to boost performance maintaining balance between exploration exploitation ABC. Tuned...

Variable speed drives (VSDs) use power electronic components as controlled switches which distort the sinusoidal current and voltage waveforms of AC grid due to harmonic injection at the point of common coupling (PCC). These harmonics and distortions are propagated through the power network and affect all other connected loads. So, the shunt active power filter (SAPF) is one of the proposed too...